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AI's impact on network engineering now and in the future

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If nothing else, AI continues to climb the technology hype curve. It was impossible to read the news, browse the web, attend a conference, or even watch television without seeing a reference to how AI is making our lives better. Since Alan Turing declared "what we want is a machine that can learn from experience" in a 1947 lecture to the London Mathematical Society, the imaginations of computer scientists and engineers have run wild with visions of a computer that can answer questions on par with a human. Today, almost everyone in business is looking at how to leverage AI, and there is no shortage of vendors looking to capitalize on the trend. Venture Scanner currently tracks more than 2,000 AI startups that have received more than $26 billion in funding.


The future is quantum: Microsoft releases free preview of Quantum Development Kit - The AI Blog

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So you want to learn how to program a quantum computer. Now, there's a toolkit for that. Microsoft is releasing a free preview version of its Quantum Development Kit, which includes the Q# programming language, a quantum computing simulator and other resources for people who want to start writing applications for a quantum computer. The Q# programming language was built from the ground up specifically for quantum computing. The Quantum Development Kit, which Microsoft first announced at its Ignite conference in September, is designed for developers who are eager to learn how to program on quantum computers whether or not they are experts in the field of quantum physics.


Calling All AI Innovators – Join the 'Cloud AI Challenge' for a Chance to Win $25,000

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This post is authored by Vani Mandava, Director of Data Science at Microsoft Research. The AI revolution is poised to unleash unprecedented innovation and impact on our society. Several research and development groups across Microsoft have hit their stride in delivering world-changing impact through the power of AI. Working together, we are creating a comprehensive Microsoft AI platform and a set of AI services that will enable the next generation of intelligent applications that will augment human intelligence. The AI buzz has been impossible to miss at numerous conferences that Microsoft has participated in during the past year.


Stratus Unveils Edge Computing Strategy - CXOtoday.com

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With more than 90 percent of industrial companies wanting a simplified edge infrastructure that can be remotely managed, Stratus Technologies, a global leader in continuous availability solutions for mission-critical applications, unveiled its edge computing product strategy and direction at IoT Tech Expo, in Santa Clara, California. This strategy includes the latest version of Stratus' flagship product, ftServer, along with a preview of a converged edge system, which offers enhanced remote management services in a rugged and easy-to-deploy form factor. Ideal for users in industrial automation (IA) or in distributed enterprises deploying Industrial Internet of Things (IIoT) applications, these products simplify the continuous availability and remote management of mission-critical edge applications, whether in the data center, on the plant floor or at the network edge, saving customers time and money. By delivering a series of highly available edge compute solutions, Stratus addresses the growing need for more intelligent systems at the edge, as demonstrated by a new worldwide market report by ARC Advisory Group. In that study, 91 percent of IA users surveyed stated having better systems and connectivity at the edge will enable improved real-time decision making. Yet, more than 90 percent also indicated that, as edge computing grows, organizations will need a simplified edge infrastructure that can be remotely managed.


Conventional computer vision coupled with deep learning makes AI better

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Computer vision is fundamental for a broad set of Internet of Things (IoT) applications. Household monitoring systems use cameras to provide family members with a view of what's going on at home. Robots and drones use vision processing to map their environment and avoid obstacles in flight. Augmented reality glasses use computer vision to overlay important information on the user's view, and cars stitch images from multiple cameras mounted in the vehicle to provide drivers with a surround or "bird's eye" view which helps prevent collisions. Over the years, exponential improvements in device capabilities including computing power, memory capacity, power consumption, image sensor resolution, and optics have improved the performance and cost-effectiveness of computer vision in IoT applications.


How Amazon Is Losing The Artificial Intelligence Race

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While many observers consider Amazon.com Inc. (AMZN) to be an unstoppable force that steamrolls the competition wherever it goes, most notably in retail and cloud computing, the fields of machine learning and artificial intelligence (AI) are particularly important areas where it lags, Bloomberg reports. Getting up to speed is vital for Amazon, Bloomberg adds, because the running of AI applications is likely to fuel much of the future growth in cloud computing. Global market intelligence firm International Data Corporation (IDC) projects that sales of software for coding AI applications will increase by 40% through 2021, exceeding $8 billion, and that the growth will be even faster for these products in the cloud, Bloomberg says. Meanwhile, competitors Microsoft Inc. (MSFT) and Alphabet Inc. (GOOGL), the parent of Google, have raced ahead in developing AI applications for their cloud computing clients, per Bloomberg.


What being an "AI first" company means for Google

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Back at Google I/O, CEO Sundar Pichai outlined the company's vision as an "AI first" company, with a new focus on contextual information, machine learning, and using intelligent technology to improve customer experience. The launch of the Pixel 2 and 2 XL, the latest batch of Google Home products, and the Google Clips offer a glimpse into what this long-term strategic shift could mean. We'll get to Google's latest smartphones in a minute, but there's much more to explore about the company's latest strategy. As part of the Google I/O 2017 keynote, Sundar Pichai announced that the company's various machine learning and artificial intelligence efforts and teams are being brought together under a new initiative called Google.ai. Google.ai will be focusing not only on research, but on developing tools such as TensorFlow and its new Cloud TPUs, and "applied AI".


Why AI will determine the future of fintech

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More investors are setting their sights on the financial technology (Fintech) arena. According to consulting firm Accenture, investment in Fintech firms rose by 10 percent worldwide to the tune of $23.2 billion in 2016. China is leading the charge after securing $10 billion in investments in 55 deals which account for 90 percent of investments in Asia-Pacific. The US came second taking in $6.2 billion in funding. Europe, also saw an 11 percent increase in deals despite Britain seeing a decrease in funding due to the uncertainty from the Brexit vote.


Risk is for real if not Artificial Intelligence

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Artificial Intelligence is the future of growth. There is sure to be at least one article in the newspaper/internet/blogs daily on the revolutionary advancements made in the field of Artificial Intelligence or its subfield disrupting standard industries like Fintech, Banking, Law, or any other. In banking domain digital banking teams of all modern banks planning to transform the customer experience with their AI based chat-driven intelligent virtual assistant i.e. bots. AI promises benefits, but also poses urgent challenges (not threats, please make a note) that cut across almost all industries and business be it of any nature, i.e software development, technical support, customer care, medicines, law domain or factory / manufacturing work. The need of the hour is to upgrade our skill sets to exploit AI rather than compete with it.


Risk is for Real if not Artificial Intelligence

@machinelearnbot

Artificial Intelligence is the future of growth. There is sure to be at least one article in the newspaper/internet/blogs daily on the revolutionary advancements made in the field of Artificial Intelligence or its subfield disrupting standard industries like Fintech, Banking, Law, or any other. In banking domain digital banking teams of all modern banks planning to transform the customer experience with their AI based chat-driven intelligent virtual assistant i.e. bots. Amalgamating the latest technology of artificial intelligence, predictive analytics and cognitive messaging to serve millions of customers is now a new winning strategy? AI and regulation are paving the way for Fintech.